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Oracle Data Quality

Oracle Data Quality

Overview

What is Oracle Data Quality?

Oracle Enterprise Data Quality is, as the name would suggest, a data quality offering from Oracle for enterprises.

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 6 features
  • Data profiling (7)
    10.0
    100%
  • Master data management (MDM) integration (7)
    9.5
    95%
  • Data element standardization (7)
    9.5
    95%
  • Data source connectivity (7)
    9.5
    95%
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Pricing

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N/A
Unavailable

What is Oracle Data Quality?

Oracle Enterprise Data Quality is, as the name would suggest, a data quality offering from Oracle for enterprises.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

International Address Verification with EDQ and Loqate

YouTube
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Features

Data Quality

Data quality tools are designed to ensure that business data is as reliable as possible so that it can provide a solid basis for effective decision-making

9.6
Avg 8.7
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Product Details

What is Oracle Data Quality?

Oracle Enterprise Data Quality is offered to provide a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The vendor states the software facilitates best practice Master Data Management, Data Governance, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications and cloud services.

For more information visit https://www.oracle.com/middleware/technologies/enterprise-data-quality.html

Oracle Data Quality Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Oracle Enterprise Data Quality is, as the name would suggest, a data quality offering from Oracle for enterprises.

Microsoft BI (MSBI), SAP Data Services, and Informatica Cloud Data Quality are common alternatives for Oracle Data Quality.

Reviewers rate Data profiling highest, with a score of 10.

The most common users of Oracle Data Quality are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(11)

Reviews

(1-2 of 2)
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Rita Joy | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Oracle Data Quality remains to be a proficient, substantial, and advanced data support program, that ensures there is security throughout the database, the analytical platform is digitized, and a secure cloud area. Further, the elimination of redundant data and any duplicates makes Oracle Data Quality more demanded. The cleansing of the entire data content acts as a transformational solution that fosters quality support and digitizes every activity. Lastly, there is data connectivity, address affirmation, and reputable communications.
  • Accuracy of database through quality address verification and certification.
  • Determined sales analytics and procedural evaluation of the business procedures.
  • Extensive data modelling and content mapping.
  • Oracle Data Quality requires a mobile version, which would apprehend many users.
  • Oracle Data Quality has an inflexible UI, which should be more enhanced.
  • Oracle Data Quality fails to revise prices, which are candid solutions in controlling the number of subscribers.
Oracle Data Quality is suitable for managing and evaluating the available sales database, which acts as the fundamental solution in controlling the market share. Further, Oracle Data Quality creates a detailed profile, of any database, which gets accessed in case there is fundamental analytics or data verification. More so, every data or client's information gets the required verification, which is a rational way of remaining relevant and extra competitive.
Data Quality (6)
98.33333333333334%
9.8
Data source connectivity
90%
9.0
Data profiling
100%
10.0
Master data management (MDM) integration
100%
10.0
Data element standardization
100%
10.0
Match and merge
100%
10.0
Address verification
100%
10.0
  • Details verification, for instance, address ensure the quality of every operation is sustained.
  • Further, sales analytics improves the market share as customers get to apprehend the business needs.
  • Oracle Data Quality has consistent data connectivity, a standard way of improvising business requirements.
Oracle Data Quality has concentrated on the appropriate mechanisms that foster data migration, a very conducive way that makes the transfer process more attentive and friendly. Besides, Oracle Data Quality governs and protects the available data quality, a very effective way of making the entire system more concise and rational.
Gurcan Orhan | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Oracle Enterprise Data Quality (OEDQ) helped my organization to define Data Quality issues from a business perspective by business users and ability to manage those issues within our ETL tool (Oracle Data Integrator - ODI).
  • Ease of management within Oracle Data Integrator (ODI) and effectivity of EDQ Director
  • Ease of installation with web based client.
  • Data Quality issues solved quickly, easily and jobs are controlled within Oracle Data Integrator (ODI) seamlessly.
  • Setup is straightforward. Java web application (OEDQ Director) helped us for not installing any client application.
  • Mobile support and mobile app can be implemented, since business users generally prefers to work with not only their laptops, but also mobile phones or tablets.
  • Data profiling could be standalone option instead of OEDQ Director. A business user generally wants to see the format or templated counts or other aggregations based on a full dataset.
  • Ease of adding localized and customized data quality formulations (for instance asking for Turkish Citizenship Number from governmental web service and checking whether data is the same with the output).
  • Finding the "golden record" from the duplicated records.
  • Adding and/or merging missing information from different data sources.
  • Using patterns and statistical functions to complete the data.
  • Address verification (can be localized).
  • Parsing of combination of records.
  • Enriching required data from free text (story told) inputs.
Data Quality (6)
91.66666666666666%
9.2
Data source connectivity
100%
10.0
Data profiling
80%
8.0
Master data management (MDM) integration
80%
8.0
Data element standardization
90%
9.0
Match and merge
100%
10.0
Address verification
100%
10.0
  • Data Quality issues solved quickly, easily and jobs are controlled within Oracle Data Integrator (ODI) seamlessly.
  • Business users created their data quality packages and those packages are called from Oracle Data Integrator easily and merged into data warehouse.
  • OEDQ jobs can be created by not only IT teams, but also business teams. That is why we called a "DQ job is not a part of our development, it is a part of our DWH solution".
Trillium and SAS DataFlux was considered but not having in-ETL management and licensing cost.
SAS DataFlux, Trillium Data Quality
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